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Observer-based node-to-node consensus of multi-agent systems with intermittent networks

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Abstract

In this paper, we investigate the problem of achieving node-to-node consensus (NNC) in two-layer multiple-input-multiple-output (MIMO) multi-agent systems (MASs) with Lipschitz nonlinear dynamics and intermittent directed networks, where the cooperative goal is to make each follower to track a specified leader. By using the relative outputs, discontinuous observers are given to reconstruct the full states of followers and then feedback controllers are designed. Furthermore, some NNC criteria are given by investigating stability of the error system. To verify the obtained results, a simulation is performed.

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Acknowledgements

Lingling YAO was supported by National Natural Science Foundation of China (Grant No. 11601077) and Natural Science Foundation of Jiangsu Province (Grant No. BK20160662). Peijun WANG was supported by Scientific Research Foundation for Scholars of Anhui Normal University and Natural Science Foundation of Anhui Province (Grant No. 2008085QF304).

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Authors and Affiliations

  1. School of Mathematics, Southeast University, Nanjing, 210096, China

    Lingling Yao

  2. School of Mathematics and Statistics, Anhui Normal University, Wuhu, 241000, China

    Peijun Wang

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  1. Lingling Yao
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  2. Peijun Wang
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Correspondence to Lingling Yao.

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Yao, L., Wang, P. Observer-based node-to-node consensus of multi-agent systems with intermittent networks. Sci. China Inf. Sci. 63, 212204 (2020). https://doi.org/10.1007/s11432-019-2845-6

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  • DOI: https://doi.org/10.1007/s11432-019-2845-6

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